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Multi-agent Pathfinding with n Agents on Graphs with n Vertices: Combinatorial Classification and Tight Algorithmic Bounds

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Algorithms and Complexity (CIAC 2017)

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Abstract

We investigate the multi-agent pathfinding (MAPF) problem with n agents on graphs with n vertices: Each agent has a unique start and goal vertex, with the objective of moving all agents in parallel movements to their goal s.t. each vertex and each edge may only be used by one agent at a time. We give a combinatorial classification of all graphs where this problem is solvable in general, including cases where the solvability depends on the initial agent placement.

Furthermore, we present an algorithm solving the MAPF problem in our setting, requiring \(\mathcal {O}(n^2)\) rounds, or \(\mathcal {O}(n^3)\) moves of individual agents. Complementing these results, we show that there are graphs where \(\Omega (n^2)\) rounds and \(\Omega (n^3)\) moves are required for any algorithm.

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Notes

  1. 1.

    Yu and Rus [8] also give a MAPF algorithm, cf. second to last paragraph of Sect. 1.1.

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Acknowledgements

We would like to thank the anonymous reviewers for their helpful comments. Klaus-Tycho Foerster is supported by the Danish Villum Foundation.

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Correspondence to Linus Groner .

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Foerster, KT., Groner, L., Hoefler, T., Koenig, M., Schmid, S., Wattenhofer, R. (2017). Multi-agent Pathfinding with n Agents on Graphs with n Vertices: Combinatorial Classification and Tight Algorithmic Bounds. In: Fotakis, D., Pagourtzis, A., Paschos, V. (eds) Algorithms and Complexity. CIAC 2017. Lecture Notes in Computer Science(), vol 10236. Springer, Cham. https://doi.org/10.1007/978-3-319-57586-5_21

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  • DOI: https://doi.org/10.1007/978-3-319-57586-5_21

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